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CoreWeave

Rents GPU cloud computing for AI developers

Senior Technical Recruiter

Technical RecruitingUpdated on Nov 13
Full-timeWarsaw, PolandIn-person

About the Job

Requirements

  • At least 5 years of full-cycle technical recruiting experience, including significant experience supporting Engineering organizations within high-growth or highly competitive technology companies.
  • Proven success recruiting software engineers and other highly technical talent across domains such as cloud infrastructure, distributed systems, platform engineering, networking, storage, developer infrastructure, AI/ML, or adjacent technical domains.
  • Strong technical sourcing and talent-mapping capabilities, including the ability to identify and engage talent for difficult-to-fill and niche engineering searches.
  • Ability to understand technical profiles and distinguish between adjacent engineering skill sets, backgrounds, and talent levels.
  • Experience partnering with Director-level and above Engineering stakeholders and influencing hiring decisions through data, talent-market expertise, and sound judgment.
  • Strong intake and calibration skills, including translating complex or evolving technical requirements into candidate profiles, search strategies, and assessment criteria.
  • Strong understanding of structured technical hiring processes, assessment, interviewer calibration, and high-quality feedback.
  • Strong offer negotiation and closing skills, including navigating competitive technical talent markets, compensation considerations, leveling discussions, and competing offers.
  • Data-driven recruiting skills, including funnel management, forecasting, pipeline analysis, and improving search performance.
  • Ability to use talent intelligence and market data to advise leaders on talent availability, competitive landscapes, location constraints, and other factors affecting hiring outcomes.
  • Experience using recruiting systems and tools such as Greenhouse, LinkedIn Recruiter, Gem, and related sourcing and talent-intelligence platforms.
  • Ability to manage multiple complex searches and Engineering stakeholders while maintaining quality, speed, and candidate experience.
  • Ability to operate resourcefully and adapt as technical requirements, organizational needs, and priorities evolve quickly.

Responsibilities

  • Own full-cycle technical recruiting from intake through close, including talent mapping, market intelligence, sourcing strategy, candidate assessment, interview strategy, offer negotiation, and candidate closing.
  • Partner with Engineering leaders to understand team objectives and technical requirements, define role scope, calibrate talent expectations, and develop search strategies for complex and difficult-to-fill engineering positions.
  • Help ensure interview processes are structured, calibrated, and designed to evaluate the capabilities required for success in each role.
  • Develop deep knowledge of supported technical talent markets, including relevant talent locations, how competing companies organize similar teams, candidate motivations, and how role requirements affect available talent.
  • Use data and market intelligence to diagnose searches that are not producing expected results and recommend a path forward.
  • Advise Engineering leaders on talent availability, location strategy, leveling, compensation, competitive dynamics, and hiring tradeoffs, using data and market evidence to challenge assumptions where appropriate.
  • Use recruiting analytics and funnel metrics to assess pipeline health, forecast outcomes, identify risks, and improve hiring efficiency and quality.
  • Partner with Sourcers, Recruiting Coordinators, HRBPs, Finance, Compensation, Recruiting Operations, and Recruiting Leadership to deliver a strong hiring experience.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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